Yili Wang

According to our database, Yili Wang authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Graph Defense Diffusion Model.

Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks.

Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting.

Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling.

Xin He, Yili Wang, Yiwei Dai, Xin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias.

Yili Wang, Yaohua Liu, Ninghao Liu, Rui Miao, Ying Wang, Xin Wang

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

A Comprehensive Survey of Synthetic Tabular Data Generation.

Ruxue Shi, Yili Wang, Mengnan Du, Xu Shen, Xin Wang

CoRR, April, 2025

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling.

Xu Shen, Yixin Liu, Yili Wang, Rui Miao, Yiwei Dai, Shirui Pan, Xin Wang

CoRR, February, 2025

Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias.

Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang

Neural Networks, 2025

Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning.

Minlan Shao, Yili Wang, Xu Shen, Xin Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space.

Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.

Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CrystalICL: Enabling In-Context Learning for Crystal Generation.

Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems.

Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph.

Yili Wang, Haotian Xue, Xin Wang

Expert Syst. Appl., 2024

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models.

Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data.

Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models.

Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion.

Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

Contrastive Graph Convolutional Networks with adaptive augmentation for text classification.

Yintao Yang, Rui Miao, Yili Wang, Xin Wang

Inf. Process. Manag., 2022

LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction.

Yinchao Fei, Hao Zhang, Yili Wang, Zhen Liu, Yuanning Liu

BMC Bioinform., 2022

AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.

Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022